Ontology-Based Information Retrieval Model With Semantic Similarity

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Provided by: Binary Information Press
Topic: Data Management
Format: PDF
Now, searching engines generally have the problem of lower recall and precision, some simple retrieval may return thousands of results, but few of results are related to the genuine requirement for the users, it is the most part of semantic retrieval based on ontology to deal with the retrieval. Aiming at the shortage for existing methods, this paper presents an algorithm which integrate the acceptation relation and semantic correlative analysis. This algorithm based on calculation of similarity, builds a semantic information retrieval model based-ontology, analyzing the acceptation characteristic of keywords and the acceptation correlative intensity between ontology instance that users input into the system.
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